{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Machine Learning with PyTorch and Scikit-Learn  \n",
    "# -- Code Examples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Package version checks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add folder to path in order to load from the check_packages.py script:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.insert(0, '..')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check recommended package versions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[OK] Your Python version is 3.9.7 | packaged by conda-forge | (default, Sep 29 2021, 19:24:02) \n",
      "[Clang 11.1.0 ]\n",
      "[OK] numpy 1.23.1\n",
      "[OK] matplotlib 3.5.1\n",
      "[OK] torch 1.12.0\n",
      "[OK] mlxtend 0.19.0\n"
     ]
    }
   ],
   "source": [
    "from python_environment_check import check_packages\n",
    "\n",
    "\n",
    "d = {\n",
    "    'numpy': '1.21.2',\n",
    "    'matplotlib': '3.4.3',\n",
    "    'torch': '1.8',\n",
    "    'mlxtend': '0.19.0'\n",
    "}\n",
    "check_packages(d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 13: Going Deeper -- the Mechanics of PyTorch (Part 1/3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Outline**\n",
    "\n",
    "- [The key features of PyTorch](#The-key-features-of-PyTorch)\n",
    "- [PyTorch's computation graphs](#PyTorchs-computation-graphs)\n",
    "  - [Understanding computation graphs](#Understanding-computation-graphs)\n",
    "  - [Creating a graph in PyTorch](#Creating-a-graph-in-PyTorch)\n",
    "- [PyTorch tensor objects for storing and updating model parameters](#PyTorch-tensor-objects-for-storing-and-updating-model-parameters)\n",
    "- [Computing gradients via automatic differentiation](#Computing-gradients-via-automatic-differentiation)\n",
    "  - [Computing the gradients of the loss with respect to trainable variables](#Computing-the-gradients-of-the-loss-with-respect-to-trainable-variables)\n",
    "  - [Understanding automatic differentiation](#Understanding-automatic-differentiation)\n",
    "  - [Adversarial examples](#Adversarial-examples)\n",
    "- [Simplifying implementations of common architectures via the torch.nn module](#Simplifying-implementations-of-common-architectures-via-the-torch.nn-module)\n",
    "  - [Implementing models based on nn.Sequential](#Implementing-models-based-on-nn-Sequential)\n",
    "  - [Choosing a loss function](#Choosing-a-loss-function)\n",
    "  - [Solving an XOR classification problem](#Solving-an-XOR-classification-problem)\n",
    "  - [Making model building more flexible with nn.Module](#Making-model-building-more-flexible-with-nn.Module)\n",
    "  - [Writing custom layers in PyTorch](#Writing-custom-layers-in-PyTorch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The key features of PyTorch\n",
    "\n",
    "## PyTorch's computation graphs\n",
    "\n",
    "### Understanding computation graphs\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "image/png": {
       "width": 400
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='figures/13_01.png', width=400)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating a graph in PyTorch\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scalar Inputs: tensor(1)\n",
      "Rank 1 Inputs: tensor([1])\n",
      "Rank 2 Inputs: tensor([[1]])\n"
     ]
    }
   ],
   "source": [
    " def compute_z(a, b, c):\n",
    "    r1 = torch.sub(a, b)\n",
    "    r2 = torch.mul(r1, 2)\n",
    "    z = torch.add(r2, c)\n",
    "    return z\n",
    "\n",
    "print('Scalar Inputs:', compute_z(torch.tensor(1), torch.tensor(2), torch.tensor(3)))\n",
    "print('Rank 1 Inputs:', compute_z(torch.tensor([1]), torch.tensor([2]), torch.tensor([3])))\n",
    "print('Rank 2 Inputs:', compute_z(torch.tensor([[1]]), torch.tensor([[2]]), torch.tensor([[3]])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PyTorch Tensor objects for storing and updating model parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(3.1400, requires_grad=True)\n",
      "tensor([1., 2., 3.], requires_grad=True)\n"
     ]
    }
   ],
   "source": [
    "a = torch.tensor(3.14, requires_grad=True)\n",
    "b = torch.tensor([1.0, 2.0, 3.0], requires_grad=True) \n",
    "print(a)\n",
    "print(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.requires_grad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "w = torch.tensor([1.0, 2.0, 3.0])\n",
    "\n",
    "print(w.requires_grad)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "w.requires_grad_()\n",
    "\n",
    "print(w.requires_grad)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[ 0.4183,  0.1688,  0.0390],\n",
      "        [ 0.3930, -0.2858, -0.1051]])\n"
     ]
    }
   ],
   "source": [
    "import torch.nn as nn\n",
    "\n",
    "\n",
    "torch.manual_seed(1)\n",
    "w = torch.empty(2, 3)\n",
    "nn.init.xavier_normal_(w)\n",
    "print(w)\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "class MyModule(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.w1 = torch.empty(2, 3, requires_grad=True)\n",
    "        nn.init.xavier_normal_(self.w1)\n",
    "        self.w2 = torch.empty(1, 2, requires_grad=True)\n",
    "        nn.init.xavier_normal_(self.w2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Computing gradients via automatic differentiation and GradientTape\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Computing the gradients of the loss with respect to trainable variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dL/dw :  tensor(-0.5600)\n",
      "dL/db :  tensor(-0.4000)\n"
     ]
    }
   ],
   "source": [
    "w = torch.tensor(1.0, requires_grad=True)\n",
    "b = torch.tensor(0.5, requires_grad=True) \n",
    "\n",
    "x = torch.tensor([1.4])\n",
    "y = torch.tensor([2.1])\n",
    "\n",
    "\n",
    "z = torch.add(torch.mul(w, x), b)\n",
    " \n",
    "loss = (y-z).pow(2).sum()\n",
    "loss.backward()\n",
    "\n",
    "print('dL/dw : ', w.grad)\n",
    "print('dL/db : ', b.grad)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([-0.5600], grad_fn=<MulBackward0>)\n"
     ]
    }
   ],
   "source": [
    "# verifying the computed gradient dL/dw\n",
    "print(2 * x * ((w * x + b) - y))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simplifying implementations of common architectures via the torch.nn module\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Implementing models based on nn.Sequential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sequential(\n",
       "  (0): Linear(in_features=4, out_features=16, bias=True)\n",
       "  (1): ReLU()\n",
       "  (2): Linear(in_features=16, out_features=32, bias=True)\n",
       "  (3): ReLU()\n",
       ")"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = nn.Sequential(\n",
    "    nn.Linear(4, 16),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(16, 32),\n",
    "    nn.ReLU()\n",
    ")\n",
    "\n",
    "model\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Configuring layers\n",
    "\n",
    " * Initializers `nn.init`: https://pytorch.org/docs/stable/nn.init.html \n",
    " * L1 Regularizers `nn.L1Loss`: https://pytorch.org/docs/stable/generated/torch.nn.L1Loss.html#torch.nn.L1Loss\n",
    " * L2 Regularizers `weight_decay`: https://pytorch.org/docs/stable/optim.html\n",
    " * Activations: https://pytorch.org/docs/stable/nn.html#non-linear-activations-weighted-sum-nonlinearity  \n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "nn.init.xavier_uniform_(model[0].weight)\n",
    " \n",
    "l1_weight = 0.01\n",
    "l1_penalty = l1_weight * model[2].weight.abs().sum()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Compiling a model\n",
    "\n",
    " * Optimizers `torch.optim`:  https://pytorch.org/docs/stable/optim.html#algorithms\n",
    " * Loss Functions `tf.keras.losses`: https://pytorch.org/docs/stable/nn.html#loss-functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "loss_fn = nn.BCELoss()\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=0.001)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solving an XOR classification problem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "\n",
    "np.random.seed(1)\n",
    "torch.manual_seed(1)\n",
    "x = np.random.uniform(low=-1, high=1, size=(200, 2))\n",
    "y = np.ones(len(x))\n",
    "y[x[:, 0] * x[:, 1]<0] = 0\n",
    "\n",
    "n_train = 100\n",
    "x_train = torch.tensor(x[:n_train, :], dtype=torch.float32)\n",
    "y_train = torch.tensor(y[:n_train], dtype=torch.float32)\n",
    "x_valid = torch.tensor(x[n_train:, :], dtype=torch.float32)\n",
    "y_valid = torch.tensor(y[n_train:], dtype=torch.float32)\n",
    "\n",
    "fig = plt.figure(figsize=(6, 6))\n",
    "plt.plot(x[y==0, 0], \n",
    "         x[y==0, 1], 'o', alpha=0.75, markersize=10)\n",
    "plt.plot(x[y==1, 0], \n",
    "         x[y==1, 1], '<', alpha=0.75, markersize=10)\n",
    "plt.xlabel(r'$x_1$', size=15)\n",
    "plt.ylabel(r'$x_2$', size=15)\n",
    "\n",
    "#plt.savefig('figures/13_02.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import DataLoader, TensorDataset\n",
    " \n",
    "    \n",
    "train_ds = TensorDataset(x_train, y_train)\n",
    "batch_size = 2\n",
    "torch.manual_seed(1)\n",
    "train_dl = DataLoader(train_ds, batch_size, shuffle=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sequential(\n",
       "  (0): Linear(in_features=2, out_features=1, bias=True)\n",
       "  (1): Sigmoid()\n",
       ")"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = nn.Sequential(\n",
    "    nn.Linear(2, 1),\n",
    "    nn.Sigmoid()\n",
    ")\n",
    "\n",
    "model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "loss_fn = nn.BCELoss()\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=0.001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.manual_seed(1)\n",
    "num_epochs = 200\n",
    "def train(model, num_epochs, train_dl, x_valid, y_valid):\n",
    "    loss_hist_train = [0] * num_epochs\n",
    "    accuracy_hist_train = [0] * num_epochs\n",
    "    loss_hist_valid = [0] * num_epochs\n",
    "    accuracy_hist_valid = [0] * num_epochs\n",
    "    for epoch in range(num_epochs):\n",
    "        for x_batch, y_batch in train_dl:\n",
    "            pred = model(x_batch)[:, 0]\n",
    "            loss = loss_fn(pred, y_batch)\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "            optimizer.zero_grad()\n",
    "            loss_hist_train[epoch] += loss.item()\n",
    "            is_correct = ((pred>=0.5).float() == y_batch).float()\n",
    "            accuracy_hist_train[epoch] += is_correct.mean()\n",
    "\n",
    "        loss_hist_train[epoch] /= n_train/batch_size\n",
    "        accuracy_hist_train[epoch] /= n_train/batch_size\n",
    "\n",
    "        pred = model(x_valid)[:, 0]\n",
    "        loss = loss_fn(pred, y_valid)\n",
    "        loss_hist_valid[epoch] = loss.item()\n",
    "        is_correct = ((pred>=0.5).float() == y_valid).float()\n",
    "        accuracy_hist_valid[epoch] += is_correct.mean()\n",
    "    return loss_hist_train, loss_hist_valid, accuracy_hist_train, accuracy_hist_valid\n",
    "\n",
    "history = train(model, num_epochs, train_dl, x_valid, y_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Epochs')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 4))\n",
    "ax = fig.add_subplot(1, 2, 1)\n",
    "plt.plot(history[0], lw=4)\n",
    "plt.plot(history[1], lw=4)\n",
    "plt.legend(['Train loss', 'Validation loss'], fontsize=15)\n",
    "ax.set_xlabel('Epochs', size=15)\n",
    "\n",
    "ax = fig.add_subplot(1, 2, 2)\n",
    "plt.plot(history[2], lw=4)\n",
    "plt.plot(history[3], lw=4)\n",
    "plt.legend(['Train acc.', 'Validation acc.'], fontsize=15)\n",
    "ax.set_xlabel('Epochs', size=15)\n",
    "\n",
    "#plt.savefig('figures/13_03.png', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sequential(\n",
       "  (0): Linear(in_features=2, out_features=4, bias=True)\n",
       "  (1): ReLU()\n",
       "  (2): Linear(in_features=4, out_features=4, bias=True)\n",
       "  (3): ReLU()\n",
       "  (4): Linear(in_features=4, out_features=1, bias=True)\n",
       "  (5): Sigmoid()\n",
       ")"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = nn.Sequential(\n",
    "    nn.Linear(2, 4),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(4, 4),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(4, 1),\n",
    "    nn.Sigmoid()\n",
    ")\n",
    " \n",
    "loss_fn = nn.BCELoss()\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=0.015)\n",
    "\n",
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "history = train(model, num_epochs, train_dl, x_valid, y_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Epochs')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 4))\n",
    "ax = fig.add_subplot(1, 2, 1)\n",
    "plt.plot(history[0], lw=4)\n",
    "plt.plot(history[1], lw=4)\n",
    "plt.legend(['Train loss', 'Validation loss'], fontsize=15)\n",
    "ax.set_xlabel('Epochs', size=15)\n",
    "\n",
    "ax = fig.add_subplot(1, 2, 2)\n",
    "plt.plot(history[2], lw=4)\n",
    "plt.plot(history[3], lw=4)\n",
    "plt.legend(['Train acc.', 'Validation acc.'], fontsize=15)\n",
    "ax.set_xlabel('Epochs', size=15)\n",
    "\n",
    "#plt.savefig('figures/13_04.png', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making model building more flexible with nn.Module\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MyModule(\n",
       "  (module_list): ModuleList(\n",
       "    (0): Linear(in_features=2, out_features=4, bias=True)\n",
       "    (1): ReLU()\n",
       "    (2): Linear(in_features=4, out_features=4, bias=True)\n",
       "    (3): ReLU()\n",
       "    (4): Linear(in_features=4, out_features=1, bias=True)\n",
       "    (5): Sigmoid()\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class MyModule(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        l1 = nn.Linear(2, 4)\n",
    "        a1 = nn.ReLU()\n",
    "        l2 = nn.Linear(4, 4)\n",
    "        a2 = nn.ReLU()\n",
    "        l3 = nn.Linear(4, 1)\n",
    "        a3 = nn.Sigmoid()\n",
    "        l = [l1, a1, l2, a2, l3, a3]\n",
    "        self.module_list = nn.ModuleList(l)\n",
    "\n",
    "    def forward(self, x):\n",
    "        for f in self.module_list:\n",
    "            x = f(x)\n",
    "        return x\n",
    "    \n",
    "    def predict(self, x):\n",
    "        x = torch.tensor(x, dtype=torch.float32)\n",
    "        pred = self.forward(x)[:, 0]\n",
    "        return (pred>=0.5).float()\n",
    "            \n",
    "model = MyModule()\n",
    "model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "loss_fn = nn.BCELoss()\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=0.015)\n",
    "    \n",
    "# torch.manual_seed(1)\n",
    "history = train(model, num_epochs, train_dl, x_valid, y_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install mlxtend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mlxtend.plotting import plot_decision_regions\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(16, 4))\n",
    "ax = fig.add_subplot(1, 3, 1)\n",
    "plt.plot(history[0], lw=4)\n",
    "plt.plot(history[1], lw=4)\n",
    "plt.legend(['Train loss', 'Validation loss'], fontsize=15)\n",
    "ax.set_xlabel('Epochs', size=15)\n",
    "\n",
    "ax = fig.add_subplot(1, 3, 2)\n",
    "plt.plot(history[2], lw=4)\n",
    "plt.plot(history[3], lw=4)\n",
    "plt.legend(['Train acc.', 'Validation acc.'], fontsize=15)\n",
    "ax.set_xlabel('Epochs', size=15)\n",
    "\n",
    "ax = fig.add_subplot(1, 3, 3)\n",
    "plot_decision_regions(X=x_valid.numpy(), \n",
    "                      y=y_valid.numpy().astype(np.int64),\n",
    "                      clf=model)\n",
    "ax.set_xlabel(r'$x_1$', size=15)\n",
    "ax.xaxis.set_label_coords(1, -0.025)\n",
    "ax.set_ylabel(r'$x_2$', size=15)\n",
    "ax.yaxis.set_label_coords(-0.025, 1)\n",
    "\n",
    "#plt.savefig('figures/13_05.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Writing custom layers in PyTorch\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "class NoisyLinear(nn.Module):\n",
    "    def __init__(self, input_size, output_size, noise_stddev=0.1):\n",
    "        super().__init__()\n",
    "        w = torch.Tensor(input_size, output_size)\n",
    "        self.w = nn.Parameter(w)  # nn.Parameter is a Tensor that's a module parameter.\n",
    "        nn.init.xavier_uniform_(self.w)\n",
    "        b = torch.Tensor(output_size).fill_(0)\n",
    "        self.b = nn.Parameter(b)\n",
    "        self.noise_stddev = noise_stddev\n",
    "\n",
    "    def forward(self, x, training=False):\n",
    "        if training:\n",
    "            noise = torch.normal(0.0, self.noise_stddev, x.shape)\n",
    "            x_new = torch.add(x, noise)\n",
    "        else:\n",
    "            x_new = x\n",
    "        return torch.add(torch.mm(x_new, self.w), self.b)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[ 0.1154, -0.0598]], grad_fn=<AddBackward0>)\n",
      "tensor([[ 0.0432, -0.0375]], grad_fn=<AddBackward0>)\n",
      "tensor([[0., 0.]], grad_fn=<AddBackward0>)\n"
     ]
    }
   ],
   "source": [
    "## testing:\n",
    "\n",
    "torch.manual_seed(1)\n",
    "\n",
    "noisy_layer = NoisyLinear(4, 2)\n",
    " \n",
    "x = torch.zeros((1, 4))\n",
    "print(noisy_layer(x, training=True))\n",
    "\n",
    "print(noisy_layer(x, training=True))\n",
    " \n",
    "print(noisy_layer(x, training=False))\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MyNoisyModule(\n",
       "  (l1): NoisyLinear()\n",
       "  (a1): ReLU()\n",
       "  (l2): Linear(in_features=4, out_features=4, bias=True)\n",
       "  (a2): ReLU()\n",
       "  (l3): Linear(in_features=4, out_features=1, bias=True)\n",
       "  (a3): Sigmoid()\n",
       ")"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class MyNoisyModule(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.l1 = NoisyLinear(2, 4, 0.07)\n",
    "        self.a1 = nn.ReLU()\n",
    "        self.l2 = nn.Linear(4, 4)\n",
    "        self.a2 = nn.ReLU()\n",
    "        self.l3 = nn.Linear(4, 1)\n",
    "        self.a3 = nn.Sigmoid()\n",
    "        \n",
    "    def forward(self, x, training=False):\n",
    "        x = self.l1(x, training)\n",
    "        x = self.a1(x)\n",
    "        x = self.l2(x)\n",
    "        x = self.a2(x)\n",
    "        x = self.l3(x)\n",
    "        x = self.a3(x)\n",
    "        return x\n",
    "    \n",
    "    def predict(self, x):\n",
    "        x = torch.tensor(x, dtype=torch.float32)\n",
    "        pred = self.forward(x)[:, 0]\n",
    "        return (pred>=0.5).float()\n",
    "\n",
    "torch.manual_seed(1)\n",
    "model = MyNoisyModule()\n",
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "loss_fn = nn.BCELoss()\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=0.015)\n",
    "    \n",
    "torch.manual_seed(1)\n",
    "\n",
    "loss_hist_train = [0] * num_epochs\n",
    "accuracy_hist_train = [0] * num_epochs\n",
    "loss_hist_valid = [0] * num_epochs\n",
    "accuracy_hist_valid = [0] * num_epochs\n",
    "for epoch in range(num_epochs):\n",
    "    for x_batch, y_batch in train_dl:\n",
    "        pred = model(x_batch, True)[:, 0]\n",
    "        loss = loss_fn(pred, y_batch)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        optimizer.zero_grad()\n",
    "        loss_hist_train[epoch] += loss.item()\n",
    "        is_correct = ((pred>=0.5).float() == y_batch).float()\n",
    "        accuracy_hist_train[epoch] += is_correct.mean()\n",
    "\n",
    "    loss_hist_train[epoch] /= n_train/batch_size\n",
    "    accuracy_hist_train[epoch] /= n_train/batch_size\n",
    "\n",
    "    pred = model(x_valid)[:, 0]\n",
    "    loss = loss_fn(pred, y_valid)\n",
    "    loss_hist_valid[epoch] = loss.item()\n",
    "    is_correct = ((pred>=0.5).float() == y_valid).float()\n",
    "    accuracy_hist_valid[epoch] += is_correct.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mlxtend.plotting import plot_decision_regions\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(16, 4))\n",
    "ax = fig.add_subplot(1, 3, 1)\n",
    "plt.plot(loss_hist_train, lw=4)\n",
    "plt.plot(loss_hist_valid, lw=4)\n",
    "plt.legend(['Train loss', 'Validation loss'], fontsize=15)\n",
    "ax.set_xlabel('Epochs', size=15)\n",
    "\n",
    "ax = fig.add_subplot(1, 3, 2)\n",
    "plt.plot(accuracy_hist_train, lw=4)\n",
    "plt.plot(accuracy_hist_valid, lw=4)\n",
    "plt.legend(['Train acc.', 'Validation acc.'], fontsize=15)\n",
    "ax.set_xlabel('Epochs', size=15)\n",
    "\n",
    "ax = fig.add_subplot(1, 3, 3)\n",
    "plot_decision_regions(X=x_valid.numpy(), \n",
    "                      y=y_valid.numpy().astype(np.int64),\n",
    "                      clf=model)\n",
    "ax.set_xlabel(r'$x_1$', size=15)\n",
    "ax.xaxis.set_label_coords(1, -0.025)\n",
    "ax.set_ylabel(r'$x_2$', size=15)\n",
    "ax.yaxis.set_label_coords(-0.025, 1)\n",
    "\n",
    "#plt.savefig('figures/13_06.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "Readers may ignore the next cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ch13_part1.ipynb to script\n",
      "[NbConvertApp] Writing 14084 bytes to ch13_part1.py\n"
     ]
    }
   ],
   "source": [
    "! python ../.convert_notebook_to_script.py --input ch13_part1.ipynb --output ch13_part1.py"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
